The performance of the traditional Pareto-based evolutionary algorithms sharply reduces for many-objective optimization problems, one of the main reasons is ...
PDF | The performance of the traditional Pareto-based evolutionary algorithms sharply reduces for many-objective optimization problems, one of the main.
Title. A New Dominance Method Based on Expanding Dominated Area for Many-Objective Optimization. Authors. Liu, Junhua; Wang, Yuping; Wang, Xingyin; Guo, Si; ...
In this paper, an improved α-dominance based on expanding the dominated area of α-dominance is proposed. By redefining each objective function and the ...
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Jul 19, 2022 · In the proposed algorithm, a new dominance method, called C -dominance, is proposed to provide reasonable selection pressure for MaOPs.
This dominance method skillfully combines the advantages of two existing popular dominance methods to further expand the dominated area and better maintain the ...
A many-objective optimization evolutionary algorithm based on the hyper-dominance degree is proposed in this paper.
32, the scholar proposed to expand the dominated area of the -dominance to increase the solution selection pressure toward the PF and sustain the diversity ...
Compared to CDAS and GPO, the CNα-dominance can provide a larger selection pressure by further expanding the dominated area; whereas none of them can well ...
CDAS with S < 0.5 expands the dominance area and improves the search performance of multi-objective evolutionary algorithms (MOEAs) especially in many-objective ...